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Info about Leela Zero:
https://en.wikipedia.org/wiki/Leela_Zero
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Leela Zero is a free and open-source computer Go software released on 25 October 2017. It is developed by Belgian programmer Gian-Carlo Pascutto,[1][2][3] the author of chess engine Sjeng and Go engine Leela.[4][5]
Leela Zero's algorithm is based on DeepMind's 2017 paper about AlphaGo Zero.[3][6] Unlike the original Leela, which has a lot of human knowledge and heuristics programmed into it, Leela Zero only knows the basic rules and nothing more.[7]
Leela Zero is trained by a distributed effort, which is coordinated at the Leela Zero website. Members of the community provide computing resources by running the client, which generates self-play games and submits them to the server. The self-play games are used to train newer networks. Generally, over 500 clients have connected to the server to contribute resources.[7] The community has provided high quality code contributions as well.[7]
Leela Zero finished third at the BerryGenomics Cup World AI Go Tournament in Fuzhou, Fujian, China on 28 April 2018.[8]
Additionally, in early 2018 the same team branched Leela Chess Zero from the same code base, also to verify the methods in the AlphaZero paper as applied to the game of chess. AlphaZero's use of Google TPUs was replaced by a crowd-sourcing infrastructure and the ability to use graphics card GPUs via the OpenCL library. Even so, it is expected to take a year of crowd-sourced training to make up for the dozen hours that AlphaZero was allowed to train for its chess match in the paper.[9]
Info about Alphazero:
https://en.wikipedia.org/wiki/AlphaZero
AlphaZero is a computer program developed by the Alphabet-owned AI research company DeepMind, which uses an approach similar to AlphaGo Zero's to master not just Go, but also chess and shogi. On December 5, 2017 the DeepMind team released a preprint introducing AlphaZero, which, within 24 hours, achieved a superhuman level of play in these three games by defeating world-champion programs, Stockfish, elmo, and the 3-day version of AlphaGo Zero, in each case making use of custom tensor processing units (TPUs) that the Google programs were optimized to make use of.[1] AlphaZero was trained solely via "self-play" using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After just four hours of training, DeepMind estimated AlphaZero was playing at a higher Elo rating than Stockfish; after 9 hours of training, the algorithm decisively defeated Stockfish 8 in a time-controlled 100-game tournament (28 wins, 0 losses, and 72 draws).[1][2][3] The trained algorithm played on a single machine with four TPUs.
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Relation to AlphaGo Zero
Further information: AlphaGo Zero
AlphaZero (AZ) is a more generalized variant of the AlphaGo Zero (AGZ) algorithm, and is able to play shogi and chess as well as Go. Differences between AZ and AGZ include:[1]
AZ has hard-coded rules for setting search hyperparameters.
The neural network is now updated continually.
Go (unlike Chess) is symmetric under certain reflections and rotations; AlphaGo Zero was programmed to take advantage of these symmetries. AlphaZero is not.
Chess can end in a draw unlike Go; therefore AlphaZero can take into account the possibility of a drawn game.
AlphaZero vs. Stockfish and elmo
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#KCChess #LeelaChess #LeelaZero #NeuralNetwork #AI #chess #chessgame #chesstactics

This is Leela's quickest win against any engine maybe? lol that was a fast game.
Like in the recent other French game kicking the knight off of f6 in the opening gives white an advantage lol
These computers really need to re-evaluate their opening prep or Leela is going to continue crushing them xD
They keep playing Nf6 too quickly and Leela gets e5 in every time ^_^
I really love this game, 2. Qe2 is pretty cool/creative and works so well with e4-e5,
Leela going fishing was hilarious at the start too but it's highly effective in this kind of position haha
Leela games are so good to study for improving attacking strength.
They feel so practical.
Thank you so much for these videos Kingcrusher <3

well it had a lot high level play there
how many threats where left as threats and the other side simple nto had the time to act on them
and once more the same story
attack the pawns sacrifice a piece and then kign is open and with no support from hsis pieces for help

It would be interesting if different engines that are thinking for themselves would develop an opening book of different move sequences that would seem best to them: hopefully they wouldn't come up with only one opening variation. In all these opening lines there should be some only slightly inferior variations, not necessarily leading to defeat of the inferior side. I think it would be a good idea if all these opening lines would then be tried by all the computers, just to deepen everyone's knowledge about proper play. And of course, we would like to know all the refutations of the lemon variations, like we are witnessing right now in some of Leela's games.

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